AI consulting

Find a useful
place to start.

A focused review of where AI could help your business, followed by a practical implementation roadmap. Bring the workflow or question you want to understand better.

Clarity before a build.

We look at the work, the available information and the tools involved. The aim is a useful set of next steps you can understand and evaluate.

Opportunity review.

Discuss the repetitive tasks, incoming inquiries and handoffs that take attention. Identify where an AI assistant or automation may be useful.

Practical fit.

Review the available tools, access, dependencies and limitations. Separate a realistic first project from ideas that need more groundwork.

An implementation roadmap.

Outline priorities, a proposed first phase and the decisions needed to move forward. Scope and pricing are agreed before the review begins.

WHAT A ROADMAP CAN LOOK LIKE

A first move you can explain.

Bring one workflow that takes too much attention. Leave with the options, their dependencies and a sensible place to begin.

The opportunity

Which task is repeated, who handles it today, and what would a useful improvement look like?

The practical fit

Which information and tools are available? Where does a person still need to decide?

The first phase

A proposed scope, the open questions, and how a small trial could be evaluated before a wider rollout.

An outline of the review deliverable. Recommendations and any implementation are scoped separately.

Leave with a direction.

An opportunity shortlist and a proposed roadmap give you something concrete to review. Any implementation is a separate decision and scope.